Tag Archives: fMRI

Meet us at VSS-2024, Florida

The fMRI-at team will be at the Vision Science Society conference in Florida from May 17th to 22nd, talking about our latest research on retinotopy. We’re excited to meet other researchers and chat about our work. Come join us for some interesting discussions about how our brains make sense of the world around us! See you there!

Effects of NORDIC denoising on population receptive field maps

Christian Windischberger | Sunday, May 19, 2024, 2:45 – 6:45 pm | Banyan Breezeway

Comparing pRF Mapping Estimates for Words and Checker Patterns

David Linhardt | Sunday, May 19, 2024, 2:45 – 6:45 pm | Banyan Breezeway

A novel approach for population-receptive field mapping using high-performance computing

Siddharth Mittal | Sunday, May 19, 2024, 2:45 – 6:45 pm | Banyan Breezeway

Internship / Master thesis

Brain Imaging & Stimulation

The fMRI lab at the MR Centre of Excellence (Medical University of Vienna) is looking for motivated students to work on projects using

  • functional Magnetic Resonance Imaging
  • Transcranial Magnetic Stimulation
  • Motion tracking
  • Neuronavigation 
  • Multimodal integration

Duration
min. 6 weeks (Internship)

Supervision
Martin Tik, PhD
Dipl. Ing. Michael Woletz
Dipl.-Ing. David Linhardt
Prof. Christian Windischberger

Topics from basic science & clinical applications to creativity research (see research topics)

Potential learning outcomes

  • Experience in neuroscientific experiments & interdisciplinary collaboration
  • Assistance in data collection
  • Independent research
  • Analysis of fMRI data using Matlab

Depending on background and research interests there is a wide scope of projects.

Requirements

We expect

  • sufficient time resources,
  • scientific writing & reading skills,
  • fast learning of new techniques
  • high motivation & autonomy 

We prefer students with programming skills (Matlab, C++, Python)

Send your motivational letter (German or English) to martin.tik@meduniwien.ac.at

Optimal preprocessing pipeline for fALFF

Resting‐state functional magnetic resonance imaging (rs‐fMRI) offers the possibility to assess brain function during rest. This absence of explicit stimuli in fMRI makes analyses more susceptible to noise than task‐based fMRI.

Data preprocessing is a critical procedure to minimise artefacts related to motion and physiology.

A paper recently published in Human Brain Mapping evaluates the effects of different preprocessing strategies on the amplitude of low‐frequency fluctuations (ALFFs) and fractional ALFF (fALFF). We give important recommendations and identified preprocessing strategies that have a negative impact.

Woletz MHoffmann ATik M, Sladky R, Lanzenberger R, Robinson S, Windischberger CBeware detrending: Optimal preprocessing pipeline for low-frequency fluctuation analysis. Hum Brain Mapp. 2019 Apr 1;40(5):1571-1582. 2019.